In a conversation with Lenovo CEO Yang Yuanqing, NVIDIA CEO Jensen Huang outlined the next critical phase for artificial intelligence. He stated that while generative AI has progressed from text to multimodal capabilities, this is merely a prelude. The true transformation lies ahead with the emergence of "agent-type AI."
- The future shift is towards AI agents that possess reasoning, execution, and problem-solving capabilities, moving beyond just content generation.
- This evolution requires a system-level change, where public cloud models integrate with enterprise-specific models running on dedicated servers and infrastructure.
- The goal is to create scalable, enterprise-grade AI systems that can be deployed reliably across organizations.
- This next stage will integrate AI into broader real-world applications, including AI cloud services, AI factories, industrial AI, and robotics.
- Ultimately, AI is poised to become a fundamental productivity system that permeates all industries, driving practical and scalable business applications.
In his latest conversation with Lenovo CEO Yang Yuanqing, Jensen Huang gave a clear assessment of the next stage of AI: Generative AI has completed its evolution from text to multimodal, but this is only the prologue. A more important turning point is on the horizon—"proxy AI" with reasoning, execution, and problem-solving capabilities.
Jensen Huang pointed out that the future of AI is not just about improving model capabilities, but about changes at the system level: cutting-edge models in the public cloud will be integrated with enterprise-owned models and run on enterprise-grade servers and infrastructure, thereby supporting truly scalable enterprise AI.
In his view, this evolutionary path will bring AI into a broader real-world context, including AI cloud, AI factories, industrial AI, and even robotic AI. AI will no longer be just a tool, but is becoming a fundamental productivity system that permeates all industries. This is the key focus of the next stage.
